at which point the two comulative frequency curves intersect each other
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Less than ogive : Plot the points with the upper limits of the class as abscissae and the corresponding less than cumulative frequencies as ordinates. The points are joined by free hand smooth curve to give less than cumulative frequency curve or the less than Ogive. It is a rising curve.
Less than ogive method:
To construct a cumulative frequency polygon and an ogive by less than method, we use the following algorithm.
Algorithm
Step 1 : Start with the upper limits of class intervals and add class frequencies to obtain the cumulative frequency distribution.
Step 2 : Mark upper class limits along X-axis on a suitable scale.
Step 3 : Mark cumulative frequencies along Y-axis on a suitable scale.
Step 4 : Plot the points (xi, fi) where xi is the upper limit of a class and fi is corresponding cumulative frequency.
Step 5 : Join the points obtained in step 4 by a free hand smooth curve to get the ogive and to get the cumulative frequency polygon join the points obtained in step 4 by line segments
Greater than ogive : Plot the points with the lower limits of the classes as abscissa and the corresponding Greater than cumulative frequencies as ordinates. Join the points by a free hand smooth curve to get the “More than Ogive”. It is a falling curve.
More than ogive method:
To construct a cumulative frequency polygon and an ogive by more than method, we use the following algorithm.
Algorithm
Step 1 : Start with the lower limits of the class intervals and from the total frequencysubtract the frequency of each class to obtain the cumulative frequency distribution.
Step 2 : Mark the lower class limits along X-axis on a sutiable scale.
Step 3 : Mark the cumulative frequencies along Y-axis on a suitable scale.
Step 4 : Plot the points (xi, fi) where xi is the lower limit of a class and fi is corresponding cumulative frequency.
Step 5 : Join the points obtained in step 4 by a free hand smooth curve to get the ogive and to get the cumulative frequency polygon join these points by line segments
Less than ogive method:
To construct a cumulative frequency polygon and an ogive by less than method, we use the following algorithm.
Algorithm
Step 1 : Start with the upper limits of class intervals and add class frequencies to obtain the cumulative frequency distribution.
Step 2 : Mark upper class limits along X-axis on a suitable scale.
Step 3 : Mark cumulative frequencies along Y-axis on a suitable scale.
Step 4 : Plot the points (xi, fi) where xi is the upper limit of a class and fi is corresponding cumulative frequency.
Step 5 : Join the points obtained in step 4 by a free hand smooth curve to get the ogive and to get the cumulative frequency polygon join the points obtained in step 4 by line segments
Greater than ogive : Plot the points with the lower limits of the classes as abscissa and the corresponding Greater than cumulative frequencies as ordinates. Join the points by a free hand smooth curve to get the “More than Ogive”. It is a falling curve.
More than ogive method:
To construct a cumulative frequency polygon and an ogive by more than method, we use the following algorithm.
Algorithm
Step 1 : Start with the lower limits of the class intervals and from the total frequencysubtract the frequency of each class to obtain the cumulative frequency distribution.
Step 2 : Mark the lower class limits along X-axis on a sutiable scale.
Step 3 : Mark the cumulative frequencies along Y-axis on a suitable scale.
Step 4 : Plot the points (xi, fi) where xi is the lower limit of a class and fi is corresponding cumulative frequency.
Step 5 : Join the points obtained in step 4 by a free hand smooth curve to get the ogive and to get the cumulative frequency polygon join these points by line segments
raviprakashsingh:
if question will be for 1 mark then what will be your answer dude
just the main points dude
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Answer:
The two curves intersect each other where the median of the data is being represented.
Step-by-step explanation:
Cumulative frequency curves can be used to calculate the Median of given data. If we draw both the cumulative frequency curves on the same graph, the point at which they intersect, represents the Median of the given data set.
Media of the data is the middle point in the data from which the data gets divided into two equal halves.
It is being used in many fields across the world to estimate various parameters that affect the world.
Therefore, median is the point at which the two cumulative frequency curves intersect each other.
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